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04/25/2023
Differential Privacy via Distributionally Robust Optimization
In recent years, differential privacy has emerged as the de facto standa...
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05/27/2022
Robust Phi-Divergence MDPs
In recent years, robust Markov decision processes (MDPs) have emerged as...
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06/16/2020
Partial Policy Iteration for L1-Robust Markov Decision Processes
Robust Markov decision processes (MDPs) allow to compute reliable soluti...
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04/15/2020
On Linear Optimization over Wasserstein Balls
Wasserstein balls, which contain all probability measures within a pre-s...
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10/23/2019
Optimistic Distributionally Robust Optimization for Nonparametric Likelihood Approximation
The likelihood function is a fundamental component in Bayesian statistic...
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10/17/2019
Calculating Optimistic Likelihoods Using (Geodesically) Convex Optimization
A fundamental problem arising in many areas of machine learning is the e...
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05/22/2017
